L. A. Yeoh
Papers
1
Total Citations
4
H-Index
1
About
L. A. Yeoh’s research centers on the intersection of computer vision and telemedicine, with a particular focus on accessible, low-cost healthcare technologies. In their most-cited work, “A Preliminary Investigation on Computer Vision for Telemedicine Systems Using OpenCV” (2010), Yeoh explored the use of the open-source OpenCV library to build vision-based tools for robotic telemedicine clusters. This early investigation, part of a practice-based ICT for Development (ICTD) initiative, demonstrated how open-source software could enable remote diagnosis and patient monitoring in resource-constrained settings. Though the paper has garnered 4 citations, its significance lies in laying foundational groundwork for integrating computer vision into telemedicine—a field that has since expanded dramatically. Yeoh’s work reflects a commitment to bridging technology and healthcare access, emphasizing practical, scalable solutions. By leveraging OpenCV’s capabilities, they contributed to the broader conversation on how affordable, open-source tools can transform medical delivery, particularly in underserved communities. This preliminary study remains a stepping stone for researchers exploring computer vision’s role in telemedicine, highlighting Yeoh’s role in early-stage, impact-driven innovation.
Research Focus
Key Achievements
Top Papers
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